sophisticated mathematics and the science behind meteorology. we used data from many sources - data coming from the national weather service, data coming from farms - to predict not just the weather, but how that weather impacts farms. > > lloyd, tell me, what exactly does this do? what does this information do for, say, the farmer? > > well, instead of getting a generic and fairly vague weather forecast, we can provide a detailed forecast of when and where it might rain tomorrow on the farm, and more importantly, how that would affect the operations. so when i talk to farmers, one of the things that they tell me is a big challenge, especially in the drought-stricken season, is irrigation. they want to be much more efficient at using water, and they want to schedule that ahead of time. that's dependent on where and when it will rain tomorrow - the temperature, the humidity. the idea is that we not only predict the weather, but we can predict the schedule of the irrigation, where and when the water would need to be applied. > > is this being rolled out now, being put into use? > > well, we've ac